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PubMed search displays ~\u2009146,000 studies on HLA reported from diverse locations. Currently, IPD-IMGT\/HLA (Robinson et al., Nucleic Acids Research 48:D948\u2013D955, 2019) database houses data on 28,320 HLA alleles. We developed an automated pipeline with a unified graphical user interface HLA-SPREAD that provides a structured information on SNPs, Populations, REsources, ADRs and Diseases information. Information on HLA was extracted from ~\u200928 million PubMed abstracts extracted using Natural Language Processing (NLP). Python scripts were used to mine and curate information on diseases, filter false positives and categorize to 24 tree hierarchical groups and named Entity Recognition (NER) algorithms followed by semantic analysis to infer HLA association(s). This resource from 109 countries and 40 ethnic groups provides interesting insights on: markers associated with allelic\/haplotypic association in autoimmune, cancer, viral and skin diseases, transplantation outcome and ADRs for hypersensitivity. Summary information on clinically relevant biomarkers related to HLA disease associations with mapped susceptible\/risk alleles are readily retrievable from HLASPREAD. The resource is available at URL\n                    <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"http:\/\/hla-spread.igib.res.in\/\">http:\/\/hla-spread.igib.res.in\/<\/jats:ext-link>\n                    . This resource is first of its kind that can help uncover novel patterns in HLA gene-disease associations.\n                  <\/jats:p>","DOI":"10.1186\/s12864-021-08239-0","type":"journal-article","created":{"date-parts":[[2022,1,6]],"date-time":"2022-01-06T19:04:17Z","timestamp":1641495857000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["HLA-SPREAD: a natural language processing based resource for curating HLA association from PubMed abstracts"],"prefix":"10.1186","volume":"23","author":[{"given":"Dhwani","family":"Dholakia","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ankit","family":"Kalra","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bishnu Raman","family":"Misir","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Uma","family":"Kanga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mitali","family":"Mukerji","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,1,7]]},"reference":[{"issue":"46","key":"8239_CR1","doi-asserted-by":"publisher","first-page":"1979","DOI":"10.21105\/joss.01979","volume":"5","author":"T Achakulvisut","year":"2020","unstructured":"Achakulvisut T, Acuna D, Kording K. 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